Inspired by [1]}, We combine GAN loss and feature loss function in the discriminator to achieve a stable training effect. The input of the discriminator is the real image and the generated image. We calculate the feature loss function at the output of each layer of the discriminator, and calculate the GAN loss function in the last layer.
